Step 1 :We are given the function \(f(x, y) = xy\) and the constraint \(4x^2 + 2y^2 = 1\). We want to find the points on the ellipse where the function has its extreme values.
Step 2 :We use the method of Lagrange multipliers. This involves setting up a system of equations based on the gradient of the function and the gradient of the constraint.
Step 3 :The gradient of the function \(f(x, y) = xy\) is \((y, x)\), and the gradient of the constraint \(4x^2 + 2y^2 = 1\) is \((8x, 4y)\).
Step 4 :We set these equal to each other to get the system of equations: \(y = 8x\lambda\) and \(x = 4y\lambda\). We also have the constraint equation \(4x^2 + 2y^2 = 1\).
Step 5 :Solving this system of equations gives us the points \((-\sqrt{2}/4, 1/2)\), \((\sqrt{2}/4, -1/2)\), \((-\sqrt{2}/4, -1/2)\), and \((\sqrt{2}/4, 1/2)\).
Step 6 :Final Answer: The points on the ellipse \(4 x^{2}+2 y^{2}=1\) where \(f(x, y)=x y\) has its extreme values are \(\boxed{(-\sqrt{2}/4, 1/2)}\), \(\boxed{(\sqrt{2}/4, -1/2)}\), \(\boxed{(-\sqrt{2}/4, -1/2)}\), and \(\boxed{(\sqrt{2}/4, 1/2)}\).